Booking.com Hotel Price & Rating Snapshot Scraper

What it returns

31 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• hotelIdBooking.com hotel identifier
• nameHotel or property name
• urlCanonical Booking.com hotel URL
• propertyTypeAccommodation type
• starsStar rating (1-5)
• addressStreet address or district and city
• cityCity name
• countryCountry name
• latitudeLatitude
• longitudeLongitude
• distanceDistance from downtown on the search result
• ratingGuest review score (0-10)
• reviewCountNumber of guest reviews
• reviewWordRating label (Wonderful, Excellent, Very Good, Good, etc.)
• priceStay price for the requested dates
• pricePerNightNightly price
• originalPricePrice before a visible discount
• currencyCurrency code
• discountPercentVisible discount percentage
• taxesAndFeesTaxes and fees shown for the stay
• photoUrlMain photo URL
• checkinCheck-in date (YYYY-MM-DD)
• checkoutCheck-out date (YYYY-MM-DD)
• nightsNumber of nights
• adultsNumber of adults
• roomsNumber of rooms
• modesearch or details
• detailStatussearch_only or enriched
• sourceData source
• scrapedAtScrape timestamp (ISO 8601)

Not in the schema among the core Booking.com fields: availability, reviews, amenities. The field matrix shows which other tools return them.

How it differs from the other Booking.com Actors

Among the 3 catalogue Actors for Booking.com with a published schema, only this one returns accessMethod.

Pick another Actor if you need

Input

Example input

Built from the input form's published example values and defaults.

{
  "mode": "search",
  "destination": "Paris",
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/fr/du-printemps-paris.html"
    }
  ],
  "adults": 2,
  "rooms": 1,
  "propertyType": "all",
  "minReviewScore": 0,
  "stars": "0",
  "freeCancellation": false,
  "breakfast": false,
  "pool": false,
  "currency": "USD",
  "language": "en-us",
  "maxItems": 2
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "destination": "Paris",
    "startUrls": [
        {
            "url": "https://www.booking.com/hotel/fr/du-printemps-paris.html"
        }
    ],
    "adults": 2,
    "rooms": 1,
    "propertyType": "all",
    "minReviewScore": 0,
    "stars": "0",
    "freeCancellation": False,
    "breakfast": False,
    "pool": False,
    "currency": "USD",
    "language": "en-us",
    "maxItems": 2
}

run = client.actor("vexaloom-labs/booking-com-hotel-price-and-rating-snapshot").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "destination": "Paris",
    "startUrls": [
        {
            "url": "https://www.booking.com/hotel/fr/du-printemps-paris.html"
        }
    ],
    "adults": 2,
    "rooms": 1,
    "propertyType": "all",
    "minReviewScore": 0,
    "stars": "0",
    "freeCancellation": false,
    "breakfast": false,
    "pool": false,
    "currency": "USD",
    "language": "en-us",
    "maxItems": 2
};

const run = await client.actor("vexaloom-labs/booking-com-hotel-price-and-rating-snapshot").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~booking-com-hotel-price-and-rating-snapshot/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","destination":"Paris","startUrls":[{"url":"https://www.booking.com/hotel/fr/du-printemps-paris.html"}],"adults":2,"rooms":1,"propertyType":"all","minReviewScore":0,"stars":"0","freeCancellation":false,"breakfast":false,"pool":false,"currency":"USD","language":"en-us","maxItems":2}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/booking-com-hotel-price-and-rating-snapshot",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Booking.com routes

It ranks 3 of 3 catalogue Actors for Booking.com on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• compare hotel prices
• review hotel ratings
• find destination hotels

Other catalogue Actors for Booking.com

Similar Actors

Questions people ask

Sources

• Booking.com Hotel Price & Rating Snapshot Scraper on Apify Store
• Published build with input and output schema (JSON)
• Booking.com Demand API documentation